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Coursera

SSIS: Design, Implement & Automate ETL Workflows

EDUCBA via Coursera

Overview

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Master SQL Server Integration Services (SSIS) and build reliable ETL workflows for data integration and data warehousing. You’ll begin by exploring the SSIS environment and creating packages with connection managers, data flow tasks, and SQL tasks. You’ll then cleanse, enrich, organize, and integrate data using conditional splits, data conversion, derived columns, lookups, multicast, sorting, merging, row counts, aggregations, and script components. As you progress, you’ll work with complex data flows involving column manipulation, Excel and database transfers, Union All, row sampling, audit transformations, and database-to-database movement. You’ll also analyze and transform datasets with fuzzy grouping and lookups, pivot and unpivot operations, text mining, data viewers, and aggregate calculations. Finally, you’ll automate SSIS workflows using loops, file system tasks, and advanced SQL tasks. Designed for learners who want practical SSIS, ETL, and data warehousing skills, this course follows a structured path from foundational package creation to advanced transformations and control flow automation. Scenario-based practice, quizzes, and graded assessments help you apply each concept to realistic data challenges. Enroll to gain the skills to design, implement, evaluate, and optimize SSIS packages for professional data integration needs.

Syllabus

  • Getting Started with SSIS
    • This module introduces learners to SQL Server Integration Services (SSIS), its environment, and foundational tasks, enabling them to build and run their first ETL packages effectively.
  • Core Data Transformations
    • This module explores essential SSIS data transformations, teaching learners how to split, filter, convert, and merge data flows for reliable and efficient ETL processes.
  • Expanding ETL Capabilities
    • This module expands SSIS capabilities with advanced transformations, grouping, aggregations, and scripting, helping learners manage complex ETL requirements.
  • Working with Complex Data Flows
    • This module guides learners through advanced data flow manipulations, including column operations, file transfers, sorting, unions, and sampling techniques.
  • Advanced SSIS Techniques
    • This module covers advanced SSIS functionalities including data viewers, fuzzy logic, text mining, pivoting, and control flow automation for enterprise-scale ETL.

Taught by

EDUCBA

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4.5 rating at Coursera based on 30 ratings

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